Revolutionizing Mental Health Care: The Impact of AI Chatbots
Keywords:
AI-driven mental health, HAI principles, Responsible AI, Digital mental health landscapeAbstract
Since 2022, AI chatbots have attracted attention for their use of big data, NLP, and ML algorithms. These entities enhance capabilities, increase productivity, and provide guidance across diverse domains. Human–Artificial Intelligence (HAI) integrates human values into AI, addressing limitations and improving effectiveness. In mental health, AI and ML are integrated into digital solutions to tackle access, stigma, and cost challenges. However, ethical and legal uncertainties surround these technologies. This literature review explores AI chatbots' potential in transforming digital mental health, emphasizing the need for ethical, responsible, and trustworthy AI algorithms. Three key research questions focus on the impact of AI chatbots on technology integration, the balance between benefits and drawbacks, and addressing bias in AI applications. Methodologically, the review involves thorough searches of databases using keywords related to AI chatbots and digital mental health. Rigorously selected peer-reviewed articles and media sources contribute to a comprehensive analysis. In summary, while AI chatbots hold promise in reshaping digital mental health, navigating ethical and practical challenges is crucial. Incorporating HAI principles, responsible regulations, and scoping reviews are essential for maximizing benefits and minimizing risks, with collaborative strategies and contemporary education promoting responsible use and mitigating biases in the digital mental health landscape.
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